Identification of Methane Emissions in an Urban Setting ESRL - - PowerPoint PPT Presentation
Identification of Methane Emissions in an Urban Setting ESRL - - PowerPoint PPT Presentation
Identification of Methane Emissions in an Urban Setting ESRL Global Monitoring Annual Meeting May17-18, 2011 Collaborators in this effort Nathan Phillips & Lucy Hutyra Boston University Jocelyn Turnbull & Colm Sweeney
- Nathan Phillips & Lucy Hutyra – Boston University
- Jocelyn Turnbull & Colm Sweeney – NOAA/ESRL
- Paul Shepson & Maria Obiminda Cambaliza – Purdue
- Eric Crosson, Chris Rella, & Sze Tan – Picarro, Inc.
- Robert Ackley – Gas Safety, Inc.
Collaborators in this effort
- As an extension of the INFLUX work
– Identify methane source locations and gather information
- n methane flux signals (relative magnitudes).
- Provide prior knowledge for inversion models.
- Data to help validate inversion model results.
- Information to help improve flux measurements from aircraft.
- Data could help to model cross-wind dispersion in an urban
environment.
Objectives of this effort
Method: Measuring Methane Plumes to Determine Source Locations
Methane Source
Wind
methane plume
- Map out methane concentrations
while driving along roads and highways.
– CH4: 2 ppb precision at 0.5 Hz. – GPS data – Wind velocity
Method: Identifying methane source locations
Sources Reconstruction Guidance from Simple Gaussian Plume Model
Source locations calculate from plumes
methane source and plume roads
Four source locations Winds: 0 to 360
- in 20
- steps
Atmospheric stability class C
Model Results: Winds from only two orthogonal directions…….source location looks possible.
Class A
Sources Reconstruction
Atmospheric Stability Class F
From Models to Reality: Measurements in Indianapolis
108.560 108.561 108.562 108.563 108.564 5 10 15 20 25 30 35 40
Methane (ppm) PlumeRUN1-4_19_2011-Data-landfill
Methane Concentration (parts per million)
Methane Measurements Taken While Driving
Distance Traveled
Methane measurements while driving through plume
“Methane Maps” of Indianapolis
Wind direction, 23km/hr
1 2 3 4 5
Some Sources are easy to Identify
1 2 3 4 5
> 25 ppm
Others are NOT so Easy
1 2 3 4 5
Methane Data Taken the Next Day
Wind direction, 23km/hr
1 2 3 4 5 6 7 8
Reproducibility of Plume Measurements
45 minutes
Repeated landfill plume measurements taken while driving 2 km from source. (Location: Danville, IN)
- Wind speed = 3.8 ± 1.2 km/hr
- Source Flux ≅ 7,000 grams / minute
1.5 km
High variability in plume shape. Take advantage by……
Stationary Tracer Method to Assess Fluxes
- Fixed location 1300 m downwind of landfill
- Natural variation in wind direction & wind speed will cause variability in
signal as the plumes sweep across the detection point
- High correlation indicates good overlap between plumes
methane acetylene
Landfill
Wind
methane plume tracer plume
Methane Flux Determination (Location: Danville, IN)
- Plot methane vs.
acetylene.
- Slope of line
gives ratio of emission rates.
= 7.5 moles / s
A Very Complex Methane Map: Boston
Play Video
Natural Gas Leaks in and around Boston
Natural Gas Leaks Destroying Vegetation
- Leaks in aging natural gas pipelines are killing trees all
across the northeast.
– Natural gas leaks can kill trees by displacing oxygen in the soil and drying out their roots. – 7,500 to 10,000 trees affected in Boston area alone.
- Several cities are asking for damages in excess of $1M
each.
http://natgaspollutes.com Flux (cubic feet / m2-day) at surface Gas in air 8” below surface
0.237 26% 1.407 48% 1.007 80% 0.012 63%
- Identification of methane source locations by
driving around looks possible.
- Flasks need to be analyzed.
- Need model to reconstruct methane probability
distribution from plume data.
- Need to take more systematic data.